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At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. Machine Learning Engineer at BairesDev In this role, you'll design and deliver end-to-end ML, NLP, LLM, and agentic AI solutions that solve real business problems. Working with state-of-the-art models, you'll optimize inference and large-scale deployments, making LLMs and Transformers run reliably in production with high quality, strong performance, and controlled costs. The impact is direct: the solutions you design and operate power key products, handling large datasets and demanding requirements across Databricks, MLflow, and AWS environments. What You'll Do: - Co-define ML, NLP, and agentic AI solutions with product, engineering, and data stakeholders, translating business objectives into measurable success metrics. - Build data pipelines and feature engineering workflows for training, evaluation, batch scoring, and online inference using Python, PySpark and Databricks. - Develop, train, evaluate, and maintain traditional ML models and NLP/LLM solutions including Transformers, embeddings, RAG, and structured outputs. - Design and implement agent workflows connecting LLMs with tools, APIs, retrieval systems, and business rules, including safety checks and observability. - Package, deploy, monitor, and retrain models on Databricks/MLflow and AWS, exposing reliable FastAPI services for realtime, batch, and async workloads. What we are looking for: - 7+ years of experience delivering end-to-end machine learning, NLP, LLM, and agentic AI solutions from business problem definition to production deployment. - Strong NLP, text intelligence, and LLM expertise including tokenization, embeddings, semantic search, RAG, structured outputs, function/tool calling, guardrails, and hallucination mitigation. - Hands-on experience with traditional ML models including classification, regression, ranking, forecasting, segmentation, anomaly detection, and explainability. - Experience designing agentic AI workflows integrating LLMs with tools, APIs, and retrieval systems, including multi-step reasoning, memory management, and human-in-the-loop review. - Strong production ML/MLOps experience with Databricks/MLflow and AWS including model packaging, governance, CI/CD, monitoring, drift detection, and cost optimization. - Advanced proficiency in English. How we do make your work (and your life) easier: - 100% remote work (from anywhere). - Excellent compensation in USD or your local currency if preferred - Hardware and software setup for you to work from home. - Flexible hours: create your own schedule. - Paid parental leaves, vacations, and holidays. - Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. - Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Apply now and become part of a global team where your unique talents can truly thrive!
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.